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IDA
2001
Springer
13 years 10 months ago
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
Paul R. Cohen, Niall M. Adams
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
13 years 10 months ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams
DCC
2005
IEEE
14 years 5 months ago
The Markov Expert for Finding Episodes in Time Series
We describe a domain-independent, unsupervised algorithm for refined segmentation of time series data into meaningful episodes, focusing on the problem of text segmentation. The V...
Jimming Cheng, Michael Mitzenmacher
AAAI
2007
13 years 7 months ago
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...
Tom Armstrong, Tim Oates
ICSM
2007
IEEE
13 years 11 months ago
Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation
Time series analysis is a promising approach to discover temporal patterns from time stamped, numeric data. A novel approach to apply time series analysis to discern temporal info...
Harvey P. Siy, Parvathi Chundi, Daniel J. Rosenkra...